Chengyi Wang
Impact in
- Signal Processing top 0.5%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 1%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
Papers in
-
- Remote-Sensing Image Classification 22
-
- Music and Audio Processing 14
- Speech and Audio Processing 13
- Co-authors
- Yu Wu (15 shared papers)Shujie Liu (17 shared papers)Zhen Ping Zhou (11 shared papers)Zhaojun Xie (10 shared papers)Jinyu Li (13 shared papers)Xin‐Gai Wang (8 shared papers)Yao Qian (8 shared papers)Sanyuan Chen (8 shared papers)
- Journals
- Remote Sensing (12 papers)Sensors (3 papers)Journal of Materials Chemistry A (3 papers)Combustion and Flame (2 papers)IEEE Access (2 papers)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Chengyi Wang
124 papers receiving 4.1k citations
Chengyi Wang's Hit Papers
Peers
Comparison fields: 5 of 153
- Signal Processing 1.0k
- Artificial Intelligence 1.6k
- Media Technology 227
- Water Science and Technology 278
- Automotive Engineering 227
Countries citing papers authored by Chengyi Wang
This map shows the geographic impact of Chengyi Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chengyi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengyi Wang more than expected).
Fields of papers citing papers by Chengyi Wang
This network shows the impact of papers produced by Chengyi Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chengyi Wang. The network helps show where Chengyi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chengyi Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing Hit paper breakdown → | 2022 | 1145 |
| 2 | 2018 | 168 | |
| 3 | 2018 | 152 | |
| 4 | 2018 | 135 | |
| 5 | 2020 | 122 | |
| 6 | 2018 | 98 | |
| 7 | 2020 | 96 | |
| 8 | 2017 | 95 | |
| 9 | 2022 | 86 | |
| 10 | 2021 | 85 | |
| 11 | 2024 | 78 | |
| 12 | 2022 | 76 | |
| 13 | 2020 | 72 | |
| 14 | 2018 | 72 | |
| 15 | 2017 | 71 | |
| 16 | 2020 | 68 | |
| 17 | 2019 | 63 | |
| 18 | 2019 | 62 | |
| 19 | 2022 | 60 | |
| 20 | 2017 | 60 |
About Chengyi Wang
Chengyi Wang is a scholar working on Media Technology, Signal Processing, Computer Vision and Pattern Recognition, Environmental Engineering and Atmospheric Science, having authored 133 papers that have together received 4.3k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (22 papers), Speech Recognition and Synthesis (17 papers), Advanced Battery Materials and Technologies (15 papers), Music and Audio Processing (14 papers), Remote Sensing and Land Use (13 papers), Speech and Audio Processing (13 papers), Advancements in Battery Materials (12 papers) and Membrane-based Ion Separation Techniques (11 papers). The work is most often cited by research in Signal Processing (1.0k citations), Artificial Intelligence (1.6k citations), Media Technology (227 citations), Water Science and Technology (278 citations) and Automotive Engineering (227 citations). Chengyi Wang has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Yu Wu, Shujie Liu, Zhen Ping Zhou, Zhaojun Xie, Jinyu Li, Xin‐Gai Wang, Yao Qian, Sanyuan Chen, Xin Zhang and Furu Wei. Their work appears in journals such as Remote Sensing, Sensors, Journal of Materials Chemistry A, Combustion and Flame and IEEE Access.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.